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Remote-USA, United States of America
Remote only
The Partner Analytics team within Business Data is hiring a Senior Data Scientist to lead analytics to uncover insights to drive both better business decisions and customer experiences across our product portfolio.
What you’ll do
Independently scope and deliver end-to-end data science projects, from problem framing through model development, validation, and productionization
Build and maintain industry performance and customer segmentation models, applying appropriate techniques (e.g., clustering, regression, tree-based models) and ensuring they are robust, interpretable, and actionable
Partner with Data Engineering and ML Engineering to deploy and maintain models in production, including feature development, batch/real-time scoring, and monitoring model performance over time
Design and analyze experiments and observational studies (A/B testing, causal inference) to evaluate product features and business initiatives
Translate ambiguous business problems into well-defined analytical approaches, selecting appropriate methodologies and success metrics
Provide data-driven recommendations to senior leaders, clearly communicating trade-offs, assumptions, and impact
Collaborate with cross-functional teams including Follow Up Boss, Preferred, and zPro to align on goals, define KPIs, and deliver integrated insights
Contribute to scalable data assets (clean datasets, metrics definitions, dashboards) that enable self-service analytics
Mentor junior team members and contribute to team best practices, code quality, and documentation.
Scope & impact
Owns moderately complex problem areas with clear business impact, delivering solutions with limited oversight
Influences decision-making within their immediate domain and contributes to adjacent areas through collaboration
Balances speed and rigor, making sound trade-offs in modeling, experimentation, and analysis
Begins shaping team standards and improving how data science work is executed within the org
4–7+ years of experience in data science, applied machine learning, or a related field
Strong foundation in statistics, machine learning, and experimentation, with demonstrated ability to apply methods to real-world business problems
Proficient in Python (pandas, scikit-learn, PySpark) and SQL; comfortable working with large datasets in modern data platforms (e.g., Snowflake, Spark)
Experience building segmentation and performance models and translating outputs into business insights
Familiarity with production workflows (e.g., Airflow, dbt, model deployment patterns, monitoring)
Ability to work independently in ambiguous spaces while maintaining alignment with stakeholders
Strong communication skills, with the ability to tailor insights to technical and non-technical audiences
Experience collaborating across multiple product and business teams
At Zillow, we’re reimagining how people move—through the real estate market and through their careers. As the most-visited real estate platform in the U.S., we help customers navigate buying, selling, financing and renting with greater ease and confidence. Whether you're working in tech, sales, operations, or design, you’ll be part of a company that's reshaping an industry and helping more people make home a reality.
Zillow is honored to be recognized among the best workplaces in the country. Zillow was named one of FORTUNE 100 Best Companies to Work For® in 2025, and included on the PEOPLE Companies That Care® 2025 list, reflecting our commitment to creating an innovative, inclusive, and engaging culture where employees are empowered to grow.
No matter where you sit in the organization, your work will help drive innovation, support our customers, and move the industry—and your career—forward, together.
Zillow Group is an equal opportunity employer committed to fostering an inclusive, innovative environment with the best employees. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. If you have a disability or special need that requires accommodation, please contact your recruiter directly.
Qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable state and local law.
Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.